OSS Risk Radar

OSS maintenance triage, research metrics, and live repository overview

ML Evaluation Workspace

Keep the model story clear: one page for the signal, one for the repos, one for the artifacts.

Overview stays focused on AUROC, Brier, inactivity rate, and calibration. Dataset, Repositories, and Runs hold the deeper inspection views so the workflow stays readable.

Overview

Live quality snapshot

Dataset

Coverage and feature inventory

Repos

Stars, notes, and activity

Runs

Cached artifacts and splits

Repositories

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Unique training repositories

Active

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Current push activity looks healthy

Archived

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Archived repos still present in the base

Labeled

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Repository snapshots with inactivity labels

Training Repositories

All repos used by the current training base

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